provides
all relevant information
on work-site.
Troubleshoot & Diagnosing
Operational tasks
Easy, fast, safe
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The at the
Scan QR-code
Get all information you need
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Wielding robot #27
The agile AR frontend
Displaying everything you need at one place
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Bringing low-code IIoT
to the shopfloor
Manuals, schematics, FAQ, ….
Any information needed
On-site troubleshooting &
operating
Unified AR
for iPhone & iPad
Connecting valuable insights to
the real-world production
Acts as the easy access to
Unified @ edge
Key use cases
Unrestricted | © Siemens 2022 | Alexander Hofmann
Troubleshooting Distributed HMI & Insights Safety & Information
• Unique identification of assets,
equipment, and machines
• Access to all relevant
diagnosing information
• View error messages &
notifications
• On-site operation
„Save 20+minutes on 260k $/h
downtime“
• Additional digital HMI panels
without cost, space or hygienic
restrictions
• On-site provision of insights
from edge, cloud and web
apps
• Avoid operation errors by
providing the right information
& functionality at the right place
• Display safety-relevant
information to reduce accidents
• View documentation
„ more than 13k accidents w/
death & disability (Germany)”
• View process & real-time
values to accelerate operation
tasks
Unified AR in use
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Avoid “In-factory travelling” by providing
the correct data at the respective location
Avoid operation errors and accidents by
providing the right HMI and safety information
Reduce expensive downtime by enabling
on-site operation and faster diagnosing
Prevent HMI „digging“, manual &
schematics searching
Distributed HMI
On-site access to HMI, edge,
cloud & web information
Improve safety
Avoid serious accidents
Panel replacement
of the future
Personalize your AR-
screen and avoid hygienic,
space or cost restrictions
Reduce support cost &
prevent high-cost downtime
Accelerating operation tasks &
smart troubleshooting
Save time by operating
on-site
Operate & view error
messages during
maintenance, repair and
other tasks
Check Statuses & Insights
Edge & MindSphere insights
from sensor to machine
